In this work, we present an approach that allows educational resources to be collaboratively authored and annotated with well-defined pedagogical semantics using semantic MediaWiki as collaborative knowledge engineeri...
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The team that has developed thisproject is part of a consortium of several European institutions that have joined with a common goal: To help the current engineering teaching-learningsystem, so that to make possible...
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Thisstudy aims to predict the cognitive engagement rate in a Language MOOC (Massive Open Online Course) based on the features extracted from learners' engagement behaviors within the content and activities. The f...
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This paper explores the significance of defining and perceiving each student’s role within a team, particularly focusing on the utilization of the Belbin test for members’ role definition. In a first-year Industrial...
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This paper presents an incremental machine learning algorithm that identifies the origin, or provenance, of samples of nuclear material. This is part of work being undertaken by the Canadian National Nuclear Forensics...
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In order to solve the problem that the traditional query based on secondary retrieval is too rigid so as to automatically filter out valuable target documents, and repeated queries consume a lot of time, an intelligen...
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ISBN:
(纸本)9781665456371
In order to solve the problem that the traditional query based on secondary retrieval is too rigid so as to automatically filter out valuable target documents, and repeated queries consume a lot of time, an intelligent interactive information retrieval process and processing flow for fund project document queries is proposed. based on the feedback information of users evaluating project documents, ID3 algorithm, CLCC algorithm and sVM classification function are used to learn the potential intention and target of users' query respectively, and the learned rule knowledge or classification function is applied to support the project document query. The experimental computations and analysis are conducted for the query of project documents in a fund review management as an example. The resultsshow that the number of project documents read and evaluated by the user in each interactive query loop is no more than 5% of the total number of documents returned from the previous query or 20 items, and together with the project documents already read and evaluated, they constitute the set of machine learningsamples. The maximum number of interactive query cycle isset to 5. Among the three machine learning methods, ID3 also shows good prediction performance when post-processing algorithm is used. ID3 generates a decision tree with large width and small height. CLCC algorithm is better than ID3 algorithm, mainly because the rule post-processing of CLCC is more flexible, and the generated concept rules contain more merge rules and each merge rule isshorter. The sVM method has the best prediction performance, mainly because the project document keyword vectors are all continuous real values. It is concluded that the fund project intelligent interactive information retrieval process and processing flow accurately describes the potential query intention and target of user evaluation project documents, and establishes a user query project document classification learning knowledge
Cardiovascular problems have become the predominant cause of death worldwide and a rise in the number of patients has been observed ***,electrocardiogram(ECG)data is analyzed by medical experts to determine the cardia...
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Cardiovascular problems have become the predominant cause of death worldwide and a rise in the number of patients has been observed ***,electrocardiogram(ECG)data is analyzed by medical experts to determine the cardiac abnormality,which is *** addition,the diagnosis requires experienced medical experts and is ***,automated identification of cardiovascular disease using ECGs is a challenging problem and state-of-the-art performance has been attained by complex deep learning *** study proposes a simple multilayer perceptron(MLP)model for heart disease prediction to reduce computational *** dataset containing averaged signals with window size 10 is used as an *** competing deep learning and machine learning models are used for comparison.K-fold cross-validation is used to validate the *** outcomes reveal that the MLP-based architecture can produce better outcomes than existing approaches with a 94.40%accuracy *** findings of thisstudy show that the proposed system achieves high performance indicating that it has the potential for deployment in a real-world,practical medical environment.
Today's complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt production to current i...
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Today's complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt production to current internal and external circumstances. Partly based on a running national researchproject on digital enterprises and production networks, the paper illustrates how the concepts of intelligent manufacturing systems and digital enterprises can contribute to the solution of the above problems.
Considering the increasing demand for earth observation missions, aiming at the centralized cooperative mission planning problem of remote sensing satellites, analyzing the constraints in the operation of satellites w...
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The goal of knowledge tracing (KT) is to track a students’ progress over time by analyzing their historical data, so as to predict their future performance on tests related to the topics they have covered. The rise o...
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